assistant/mcp_servers/product_mcp/server.py

"""
Product MCP Server - Product search, recommendations, and quotes
"""
import sys
import os
from typing import Optional, List, Dict, Any

# Add shared module to path
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

from fastmcp import FastMCP
from pydantic_settings import BaseSettings
from pydantic import ConfigDict


class Settings(BaseSettings):
    """Server configuration"""
    hyperf_api_url: str
    hyperf_api_token: str
    mall_api_url: str
    mall_tenant_id: str = "2"
    mall_currency_code: str = "EUR"
    mall_language_id: str = "1"
    mall_source: str = "us.qa1.gaia888.com"
    log_level: str = "INFO"

    model_config = ConfigDict(env_file=".env")


settings = Settings()

# Create MCP server
mcp = FastMCP(
    "Product Service"
)

# Tool registry for HTTP access
_tools: Dict[str, Any] = {}


def register_tool(name: str):
    """Decorator to register tool in _tools dict"""
    def decorator(func):
        _tools[name] = func
        return func
    return decorator


# Hyperf client for this server
from shared.hyperf_client import HyperfClient
hyperf = HyperfClient(settings.hyperf_api_url, settings.hyperf_api_token)


@register_tool("get_product_detail")
@mcp.tool()
async def get_product_detail(
    product_id: str
) -> dict:
    """Get product details
    
    Args:
        product_id: Product ID
    
    Returns:
        Detailed product information including specifications, pricing, and stock
    """
    try:
        result = await hyperf.get(f"/products/{product_id}")
        
        return {
            "success": True,
            "product": result
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e),
            "product": None
        }


@register_tool("recommend_products")
@mcp.tool()
async def recommend_products(
    user_id: str,
    account_id: str,
    context: Optional[dict] = None,
    strategy: str = "hybrid",
    limit: int = 10
) -> dict:
    """Get personalized product recommendations
    
    Args:
        user_id: User identifier
        account_id: B2B account identifier
        context: Optional context for recommendations:
            - current_query: Current search query
            - recent_views: List of recently viewed product IDs
            - cart_items: Items in cart
        strategy: Recommendation strategy (collaborative, content_based, hybrid)
        limit: Maximum recommendations to return (default: 10)
    
    Returns:
        List of recommended products with reasons
    """
    payload = {
        "user_id": user_id,
        "account_id": account_id,
        "strategy": strategy,
        "limit": limit
    }
    
    if context:
        payload["context"] = context
    
    try:
        result = await hyperf.post("/products/recommend", json=payload)
        
        return {
            "success": True,
            "recommendations": result.get("recommendations", [])
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e),
            "recommendations": []
        }


@register_tool("get_quote")
@mcp.tool()
async def get_quote(
    product_id: str,
    quantity: int,
    account_id: str,
    delivery_province: Optional[str] = None,
    delivery_city: Optional[str] = None
) -> dict:
    """Get B2B price quote
    
    Args:
        product_id: Product ID
        quantity: Desired quantity
        account_id: B2B account ID (for customer-specific pricing)
        delivery_province: Delivery province (for shipping calculation)
        delivery_city: Delivery city (for shipping calculation)
    
    Returns:
        Detailed quote with unit price, discounts, tax, and shipping
    """
    payload = {
        "product_id": product_id,
        "quantity": quantity,
        "account_id": account_id
    }
    
    if delivery_province or delivery_city:
        payload["delivery_address"] = {}
        if delivery_province:
            payload["delivery_address"]["province"] = delivery_province
        if delivery_city:
            payload["delivery_address"]["city"] = delivery_city
    
    try:
        result = await hyperf.post("/products/quote", json=payload)
        
        return {
            "success": True,
            "quote_id": result.get("quote_id"),
            "product_id": product_id,
            "quantity": quantity,
            "unit_price": result.get("unit_price"),
            "subtotal": result.get("subtotal"),
            "discount": result.get("discount", 0),
            "discount_reason": result.get("discount_reason"),
            "tax": result.get("tax"),
            "shipping_fee": result.get("shipping_fee"),
            "total_price": result.get("total_price"),
            "validity": result.get("validity"),
            "payment_terms": result.get("payment_terms"),
            "estimated_delivery": result.get("estimated_delivery")
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e)
        }


@register_tool("check_inventory")
@mcp.tool()
async def check_inventory(
    product_ids: List[str],
    warehouse: Optional[str] = None
) -> dict:
    """Check product inventory/stock
    
    Args:
        product_ids: List of product IDs to check
        warehouse: Specific warehouse to check (optional)
    
    Returns:
        Inventory status for each product
    """
    payload = {"product_ids": product_ids}
    if warehouse:
        payload["warehouse"] = warehouse
    
    try:
        result = await hyperf.post("/products/inventory/check", json=payload)
        
        return {
            "success": True,
            "inventory": result.get("inventory", [])
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e),
            "inventory": []
        }


@register_tool("get_categories")
@mcp.tool()
async def get_categories() -> dict:
    """Get product category tree
    
    Returns:
        Hierarchical category structure
    """
    try:
        result = await hyperf.get("/products/categories")
        
        return {
            "success": True,
            "categories": result.get("categories", [])
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e),
            "categories": []
        }


@register_tool("search_products")
@mcp.tool()
async def search_products(
    keyword: str,
    page_size: int = 60,
    page: int = 1,
    user_token: str = None,
    user_id: str = None,
    account_id: str = None
) -> dict:
    """Search products from Mall API

    从 Mall API 搜索商品 SPU（根据关键词）

    Args:
        keyword: 搜索关键词（商品名称、编号等）
        page_size: 每页数量 (default: 60, max 100)
        page: 页码 (default: 1)
        user_token: 用户 JWT token（必需，用于 Mall API 认证）
        user_id: 用户 ID（自动注入）
        account_id: 账户 ID（自动注入）

    Returns:
        商品列表，包含 SPU 信息、商品图片、价格等
        Product list including SPU ID, name, image, price, etc.
    """
    if not user_token:
        return {
            "success": False,
            "error": "用户未登录，请先登录账户以搜索商品",
            "products": [],
            "total": 0,
            "require_login": True
        }

    try:
        from shared.mall_client import MallClient
        import logging
        logger = logging.getLogger(__name__)

        logger.info(
            f"search_products called with keyword={keyword}, "
            f"user_token_prefix={user_token[:20] if user_token else None}..."
        )
        print(f"[DEBUG] search_products called: keyword={keyword}, user_token={user_token[:20] if user_token else None}...")

        # 使用用户 token 创建 Mall 客户端
        mall = MallClient(
            api_url=settings.mall_api_url,
            api_token=user_token,
            tenant_id=settings.mall_tenant_id,
            currency_code=settings.mall_currency_code,
            language_id=settings.mall_language_id,
            source=settings.mall_source
        )

        result = await mall.search_spu_products(
            keyword=keyword,
            page_size=page_size,
            page=page
        )

        logger.info(
            f"Mall API returned: result_type={type(result).__name__}, "
            f"result_keys={list(result.keys()) if isinstance(result, dict) else 'not a dict'}, "
            f"result={result}"
        )
        print(f"[DEBUG] Mall API returned: {result}")

        # 解析返回结果
        # Mall API 返回结构: {"total": X, "data": {"data": [...], ...}}
        if "data" in result and isinstance(result["data"], dict):
            products = result["data"].get("data", [])
        else:
            products = result.get("list", [])
        total = result.get("total", 0)

        # 格式化商品数据
        formatted_products = []
        for product in products:
            formatted_products.append({
                "spu_id": product.get("spuId"),
                "spu_sn": product.get("spuSn"),
                "product_name": product.get("productName"),
                "product_image": product.get("productImage"),
                "price": product.get("price"),
                "special_price": product.get("specialPrice"),
                "stock": product.get("stock"),
                "sales_count": product.get("salesCount", 0)
            })

        return {
            "success": True,
            "products": formatted_products,
            "total": total,
            "keyword": keyword
        }
    except Exception as e:
        return {
            "success": False,
            "error": str(e),
            "products": [],
            "total": 0
        }
    finally:
        # 关闭客户端
        if 'client' in dir() and 'mall' in dir():
            await mall.close()


# Health check endpoint
@register_tool("health_check")
@mcp.tool()
async def health_check() -> dict:
    """Check server health status"""
    return {
        "status": "healthy",
        "service": "product_mcp",
        "version": "1.0.0"
    }


if __name__ == "__main__":
    import uvicorn
    from starlette.responses import JSONResponse
    from starlette.routing import Route
    from starlette.requests import Request

    # Custom tool execution endpoint
    async def execute_tool(request: Request):
        """Execute an MCP tool via HTTP"""
        tool_name = request.path_params["tool_name"]

        try:
            # Get arguments from request body
            arguments = await request.json()

            # Get tool function from registry
            if tool_name not in _tools:
                return JSONResponse({
                    "success": False,
                    "error": f"Tool '{tool_name}' not found"
                }, status_code=404)

            tool_obj = _tools[tool_name]

            # Call the tool with arguments
            # FastMCP FunctionTool.run() takes a dict of arguments
            tool_result = await tool_obj.run(arguments)

            # Extract content from ToolResult
            # ToolResult.content is a list of TextContent objects with a 'text' attribute
            if tool_result.content and len(tool_result.content) > 0:
                content = tool_result.content[0].text
                # Try to parse as JSON if possible
                try:
                    import json
                    result = json.loads(content)
                except:
                    result = content
            else:
                result = None

            return JSONResponse({
                "success": True,
                "result": result
            })

        except TypeError as e:
            return JSONResponse({
                "success": False,
                "error": f"Invalid arguments: {str(e)}"
            }, status_code=400)
        except Exception as e:
            return JSONResponse({
                "success": False,
                "error": str(e)
            }, status_code=500)

    # Health check endpoint
    async def health_check(request):
        return JSONResponse({"status": "healthy"})

    # Create routes list
    routes = [
        Route('/health', health_check, methods=['GET']),
        Route('/tools/{tool_name}', execute_tool, methods=['POST'])
    ]

    # Create app from MCP with custom routes
    app = mcp.http_app()

    # Add our custom routes to the existing app
    for route in routes:
        app.router.routes.append(route)

    uvicorn.run(app, host="0.0.0.0", port=8004)